A large-scale comparison of genomic sequences: one promising approach

We introduce a novel, linguistic-like method of genome analysis. We propose a natural approach to characterizing genomic sequences based on occurrences of fixed length words from a predefined, sufficiently large set of words (strings over the alphabet [A, C, G, T]). A measure based on this approach is called compositional spectrum and is actually a histogram of imperfect word occurrences. Our results assert that the compositional spectrum is an overall characteristic of a long sequence i.e., a complete genome or an uninterrupted part of a chromosome. This attribute is manifested in the similarity of spectra obtained on different stretches of the same genome, and simultaneously in a broad range of dissimilarities between spectral representations of different genomes. High flexibility characterizes this approach due to imperfect matching and as a result sets of relatively long words can be considered. The proposed approach may have various applications in intra- and intergenomic sequence comparisons.